Are we ready for an AI oncologist? | Pallavi Tiwari

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Published Jan 12, 2025

The treatment of cancer today stands at a crossroads. Patients find themselves navigating a maze of treatments without knowing if they are going to be effective—or if they have to undergo them in the first place. Cancer care providers grapple with the limitations of current diagnostic tools which leave them unable to definitively advise on the best course of action.

At the heart of this problem are the limitations of the current diagnostic approach using human-interpreted diagnostic images. This is where AI steps in to move diagnosis forward to the next level. The speaker and her team of researchers are developing AI models that demonstrate over 90% accuracy in distinguishing benign from malignant tumors using just MRI scans. This precision is not just a number-- it's a beacon of hope. But the impact of AI in oncology isn't limited to diagnostics – it can also aid physicians in guiding their treatment approach, more precisely tailoring the treatment for each patient. This talk shares current, as well as predicted near-future developments where AI is helping physicians to better diagnose and treat their patients with cancer.

Dr. Pallavi Tiwari is a leading researcher and thought leader in Artificial Intelligence for precision medicine. She serves as an Associate Professor in the Depts. of Radiology & Biomedical Engineering; and as the Co-Director of Imaging and Radiation Sciences at the University of Wisconsin-Madison.

Her research has evolved into over 70 peer-reviewed publications, 60 peer-reviewed abstracts, and 14 patents (8 issued, 6 pending). Dr. Tiwari has been a recipient of several scientific awards, most notably being named as one of 100 women achievers by the Government of India for making a positive impact in the fields of science and innovation. In 2018, she was one of Crain’s Business Cleveland Forty under 40 awardees for her contributions to Case Western University and the State of Ohio. She has also been awarded the Johnson & Johnson Women in STEM scholar award for her research contributions in healthcare and technology. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx